kaifanli/bart-base-japanese-tobyoki-pairwise-wo_space

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bart-base-japanese-tobyoki-pairwise-wo_space

This model is a fine-tuned version of ku-nlp/bart-base-japanese on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 3.2694
• —Rouge1: 18.7407
• —Rouge2: 3.1211
• —Rougel: 10.9379
• —Rougelsum: 15.8203
• —Gen Len: 95.0245

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5.0

Training results

Framework versions

• —Transformers 4.30.0
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.4
• —Tokenizers 0.13.3